An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Learning Velocity Tracker to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn your study time into measurable progress data.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Learning Velocity Tracker.

  1. 01

    Analyze subject mastery

    Checks your proficiency level for a specific subject.

  2. 02

    Identify low yield topics

    Finds the specific topics where you are wasting time without gaining mastery.

  3. 03

    Predict completion timeline

    Estimates the date you will finish your current curriculum.

  4. 04

    Calculate global velocity

    Provides an aggregate view of your overall learning pace.

Real work

What teams actually run

01

Exam Preparation

Check your mastery in specific subjects to decide if you need more review before a test.

02

Curriculum Planning

Use completion projections to set realistic goals for finishing a course.

03

Study Optimization

Find topics where you are spending too much time to improve accuracy and shift your focus.

04

Progress Monitoring

Track your global velocity to see if your learning speed is increasing over time.

Automate a task

Put Learning Velocity Tracker to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Learning Velocity Tracker works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Learning Velocity Tracker to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

698ms average. Fast in production.

Learning Velocity Tracker is checked daily against the live service.

Daily averagePeak 892ms
Oct 3Today
Fastest day
591ms
Slowest day
892ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Learning Velocity Tracker, so you can see the experience inside your AI.

It does not authenticate your account with Learning Velocity Tracker. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Learning Velocity Tracker Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Learning Velocity Tracker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "learning-velocity-tracker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Learning Velocity Tracker in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Learning Velocity Tracker owners hand off.

This MCP is built for anyone managing a heavy technical or academic workload who needs to optimize their study schedule.

  • 01

    Students

    They hand off study logs to the AI to see if they are actually prepared for exams.

  • 02

    Self-Learners

    They use the data to adjust their focus toward high-yield topics in new fields.

  • 03

    Researchers

    They track the velocity of learning new methodologies or technical documentation.

FAQ

Questions Learning Velocity Tracker owners ask.

  • 01

    What does this MCP actually track?

    It tracks the relationship between the time you spend on a topic and your mastery of that topic.

  • 02

    How can I find out when I will finish my course?

    You can ask your agent to use the predict_completion_timeline capability to get an estimated date based on your current pace.

  • 03

    Can I see which topics are a waste of my time?

    Yes, the identify_low_yield_topics capability finds subjects where high study duration results in low accuracy.

  • 04

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP so it is ready to use immediately after you connect.

  • 06

    How does the capability calculate learning velocity?

    It calculates velocity by dividing the total number of completed topics by the cumulative time spent on all studied topics, converted into hours.

  • 07

    What is a 'low yield' topic?

    A topic is flagged as low yield if it requires a high amount of study time but results in a low mastery rate, indicating an inefficient use of your study sessions.

  • 08

    Can I predict completion for a specific subject?

    Yes, by using the predict_completion_timeline capability and providing a target subject name, you can get an estimate of remaining hours and a projected completion date.

Explore

More in Productivity

Suggestions

Connect Learning Velocity Tracker to Claude, Cursor, ChatGPT & more